Agarwood grading estimation using artificial neural network technique and carving automation

• Main Authors: Afif Ishak, Muhammad Syafiq, Yusof, Yusmeeraz, Ahmad, Mohd. Hafizi, Alias, Nurul Ezaila, Salim, Mohd. Rashidi, Rahmat, Mohd. Fadli, Othman, Mohd. Afzan, Md. Yunus, Mohd. Amri
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/80317/1/MohdAmri2017_AgarwoodGradingEstimationusingArtificial.pdf; http://eprints.utm.my/id/eprint/80317/; https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/74
• Institution: Universiti Teknologi Malaysia

Agarwood is a fragrant dark resinous wood formed when Aquilaria tress infected with a certain type of mold and appears like wood defects. It is the most valuable non-timber product has been traded in international markets because of its distinctive aroma, and can be processed into incense and perfum...